MIP
  • Results
52-week base $200 no CCS
  • Capacity and Generation
  • Capacity Tables
  • Transmission Expansion
  • Emissions
  • Dispatch
  • Capacity Factors
  • Operational Results
  • Total Capacity
  • New-build Capacity
  • Existing Capacity
  • Total Capacity (wide)
  • Regional Capacity
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, include, exclude)
   2154         # see https://github.com/ipython/ipython/issues/11038
   2155         try:
   2156             dct = self.to_dict()
   2157         except Exception:
-> 2158             utils.display_traceback(in_ipython=True)
   2159             return {}
   2160         else:
   2161             return renderers.get()(dct)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
   2516             # for easier specification of datum encodings.
   2517             copy = self.copy(deep=False)
   2518             copy.data = core.InlineData(values=[{}])
   2519             return super(Chart, copy).to_dict(*args, **kwargs)
-> 2520         return super().to_dict(*args, **kwargs)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/schema/channels.py in ?(self, validate, ignore, context)
     43                 # We still parse it out of the shorthand, but drop it here.
     44                 parsed.pop('type', None)
     45             elif not (type_in_shorthand or type_defined_explicitly):
     46                 if isinstance(context.get('data', None), pd.DataFrame):
---> 47                     raise ValueError(
     48                         'Unable to determine data type for the field "{}";'
     49                         " verify that the field name is not misspelled."
     50                         " If you are referencing a field from a transform,"

ValueError: Unable to determine data type for the field "tech_type"; verify that the field name is not misspelled. If you are referencing a field from a transform, also confirm that the data type is specified correctly.
alt.Chart(...)
  • Total Generation
  • New-build Generation
  • Existing Generation
  • Total Generation (wide)
  • Regional Generation
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, include, exclude)
   2154         # see https://github.com/ipython/ipython/issues/11038
   2155         try:
   2156             dct = self.to_dict()
   2157         except Exception:
-> 2158             utils.display_traceback(in_ipython=True)
   2159             return {}
   2160         else:
   2161             return renderers.get()(dct)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
--> 338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
    340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 338 def _todict(obj, context):
    339     """Convert an object to a dict representation."""
    340     if isinstance(obj, SchemaBase):
    341         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
   2516             # for easier specification of datum encodings.
   2517             copy = self.copy(deep=False)
   2518             copy.data = core.InlineData(values=[{}])
   2519             return super(Chart, copy).to_dict(*args, **kwargs)
-> 2520         return super().to_dict(*args, **kwargs)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/schema/channels.py in ?(self, validate, ignore, context)
     43                 # We still parse it out of the shorthand, but drop it here.
     44                 parsed.pop('type', None)
     45             elif not (type_in_shorthand or type_defined_explicitly):
     46                 if isinstance(context.get('data', None), pd.DataFrame):
---> 47                     raise ValueError(
     48                         'Unable to determine data type for the field "{}";'
     49                         " verify that the field name is not misspelled."
     50                         " If you are referencing a field from a transform,"

ValueError: Unable to determine data type for the field "tech_type"; verify that the field name is not misspelled. If you are referencing a field from a transform, also confirm that the data type is specified correctly.
alt.FacetChart(...)
  • Total Start Existing Capacity
  • Total End Existing Capacity
  • Regional End Existing Capacity
tech_type planning_year GenX SWITCH TEMOA USENSYS
Battery 2027 21854 21894 21847 21854
Battery 2030 21719 21818 21536 21719
Battery 2035 20535 21020 21526 20535
Battery 2040 84 84 313 84
Battery 2045 0 nan 313 nan
Battery 2050 0 nan 313 nan
Coal 2027 157337 163248 157337 157337
Coal 2030 142458 143876 154481 142458
Coal 2035 122365 125937 140709 122365
Coal 2040 82414 88262 115870 82414
Coal 2045 57333 64898 81145 57333
Coal 2050 30232 31478 54296 30232
Distributed Solar 2027 47556 47886 47886 47556
Distributed Solar 2030 72304 72744 47886 72304
Distributed Solar 2035 96511 97023 72742 96511
Distributed Solar 2040 102759 103282 97017 102759
Distributed Solar 2045 107818 108374 103282 107818
Distributed Solar 2050 116123 116713 108373 116123
Geothermal 2027 676 676 825 676
Geothermal 2030 621 646 825 621
Geothermal 2035 591 606 754 591
Geothermal 2040 398 410 542 398
Geothermal 2045 217 253 390 217
Geothermal 2050 100 124 45 100
Hydro 2027 94746 95067 94302 94746
Hydro 2030 92716 93456 93803 92716
Hydro 2035 91778 91789 91879 91778
Hydro 2040 89100 89428 91036 89100
Hydro 2045 84874 85230 88444 84874
Hydro 2050 81492 82628 84314 81492
Natural Gas CC 2027 306785 315077 306786 306785
Natural Gas CC 2030 305219 313442 305826 305219
Natural Gas CC 2035 300271 309829 303869 300271
Natural Gas CC 2040 297744 307611 299712 297744
Natural Gas CC 2045 295809 305929 297303 295809
Natural Gas CC 2050 287607 301379 295487 287607
Natural Gas CT 2027 140564 140861 140562 140564
Natural Gas CT 2030 139354 139627 139068 139354
Natural Gas CT 2035 136588 137335 137605 136588
Natural Gas CT 2040 130481 132113 134270 130481
Natural Gas CT 2045 119365 123239 129431 119365
Natural Gas CT 2050 95279 110178 118878 95279
Nuclear 2027 97038 97038 97038 97038
Nuclear 2030 97038 97038 96851 97038
Nuclear 2035 97038 97038 96850 97038
Nuclear 2040 97038 97038 96850 97038
Nuclear 2045 97038 97038 96850 97038
Nuclear 2050 94298 96414 96850 94298
Solar 2027 115692 115696 115693 115692
Solar 2030 115685 115685 115693 115685
Solar 2035 115677 115678 115685 115677
Solar 2040 115288 115519 115677 115288
Solar 2045 103532 106893 115185 103532
Solar 2050 69624 80234 102942 69624
Wind 2027 155394 152412 155395 155394
Wind 2030 154608 154641 155395 154608
Wind 2035 148441 150601 154608 148441
Wind 2040 117636 122448 148467 117636
Wind 2045 83551 92075 117080 83551
Wind 2050 37428 51820 82666 37428
tech_type planning_year GenX SWITCH TEMOA USENSYS
Battery 2027 21854 21894 21643 21854
Battery 2030 21719 21818 21526 21719
Battery 2035 20535 21020 20674 20535
Battery 2040 84 84 313 84
Battery 2045 0 nan 313 nan
Battery 2050 0 nan 313 nan
Coal 2027 157337 163248 155767 157337
Coal 2030 142458 143876 141036 142458
Coal 2035 122365 125937 121141 122365
Coal 2040 82414 88262 81587 82414
Coal 2045 57333 64898 56759 57333
Coal 2050 30232 31478 29924 30232
Distributed Solar 2027 47556 47886 47886 47556
Distributed Solar 2030 72304 72744 72742 72304
Distributed Solar 2035 96511 97023 97017 96511
Distributed Solar 2040 102759 103282 103282 102759
Distributed Solar 2045 107818 108374 108373 107818
Distributed Solar 2050 116123 116713 116618 116123
Geothermal 2027 676 676 825 676
Geothermal 2030 621 646 754 621
Geothermal 2035 591 606 717 591
Geothermal 2040 398 410 390 398
Geothermal 2045 217 253 227 217
Geothermal 2050 100 124 45 100
Hydro 2027 94746 95067 93803 94746
Hydro 2030 92716 93456 91879 92716
Hydro 2035 91778 91789 91036 91778
Hydro 2040 89100 89428 88444 89100
Hydro 2045 84874 85230 84314 84874
Hydro 2050 81492 82628 81022 81492
Natural Gas CC 2027 306785 315077 305826 306785
Natural Gas CC 2030 305219 313442 303869 305219
Natural Gas CC 2035 300271 309829 299712 300271
Natural Gas CC 2040 297744 307611 297303 297744
Natural Gas CC 2045 295809 305929 295487 295809
Natural Gas CC 2050 287607 301379 287400 287607
Natural Gas CT 2027 140564 140861 139198 140564
Natural Gas CT 2030 139354 139627 137926 139354
Natural Gas CT 2035 136588 137335 135234 136588
Natural Gas CT 2040 130481 132113 129431 130481
Natural Gas CT 2045 119365 123239 118997 119365
Natural Gas CT 2050 95279 110178 95148 95279
Nuclear 2027 97038 97038 96851 97038
Nuclear 2030 97038 97038 96850 97038
Nuclear 2035 97038 97038 96850 97038
Nuclear 2040 97038 97038 96850 97038
Nuclear 2045 97038 97038 96850 97038
Nuclear 2050 94298 96414 94172 94298
Solar 2027 115692 115696 115693 115692
Solar 2030 115685 115685 115685 115685
Solar 2035 115677 115678 115677 115677
Solar 2040 115288 115519 115286 115288
Solar 2045 103532 106893 103439 103532
Solar 2050 69624 80234 69400 69624
Wind 2027 155394 153912 155395 155394
Wind 2030 154608 154641 154608 154608
Wind 2035 148441 150601 148467 148441
Wind 2040 117636 122448 117662 117636
Wind 2045 83551 92075 83536 83551
Wind 2050 37428 51820 37352 37428
agg_zone tech_type resource_name planning_year GenX SWITCH TEMOA USENSYS
Loading ITables v2.1.4 from the internet... (need help?)
  • Expansion by line
  • Total expansion
  • Total expansion map
  • Emissions
  • Emissions intensity
  • 2030 Dispatch
  • 2040 Dispatch
  • 2050 Dispatch
  • 2030 Wind Dispatch
  • 2040 Wind Dispatch
  • 2050 Wind Dispatch
  • Battery
  • Solar
  • Wind
  • Natural Gas CC
  • Natural Gas CT
  • Hydro
  • Operational costs
  • Operational NSE
  • Generation
  • Power cost